Row 4840

Row ID: 4840 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 4840 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

sorry don't really understand the post, you want to construct a neural network but don't want to use back propagation is that correct?

if so how will you train your neural network, after all the weights of a ANN are all about adjustments and alignment and these are all based on back propagation. I am new to neural networks but if there is another way please do share.

FieldValue
text sorry don't really understand the post, you want to construct a neural network but don't want to use back propagation is that correct? if so how will you train your neural network, after all the weights of a ANN are all about adjustments and alignment and these are all based on back propagation. I am new to neural networks but if there is another way please do share.
label r/neuralnetworks
dataType comment
communityName r/neuralnetworks
datetime 2024-04-22
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url_encoded Z0FBQUFBQm5Lak9GSTlWazAtR2dTN1hySDBlM05LSWVDNG1wQUdHcFN0Zm1JSzhqN0NFeWV2ZXowTHl3dVcwS016dlpSLUJTdnVBSktHT2hUZjZ1ZUVwOW1UZWtuZXdYRkpQNWNkeGFRQlhNNFVtWnBpTU40YzZvSTA5N041YWhwWkN6V1htLVFoRzFpampzeVNRYXdKRlNQQlFNdmJ6WVJzSWM3bmh3Y1BidThld1lraGxldXNreXJ1bmVTcHd5d1BsOGtUSXhIeUtzbUtTQlRPRGxiVXBXZkVvdGU2QlhIZz09

Raw Record

{
  "text": "sorry don't really understand the post, you want to construct a neural network but don't want to use back propagation is that correct?\n\nif so how will you train your neural network, after all the weights of a ANN are all about adjustments and alignment and these are all based on back propagation.  I am new to neural networks but if there is another way please do share.",
  "label": "r/neuralnetworks",
  "dataType": "comment",
  "communityName": "r/neuralnetworks",
  "datetime": "2024-04-22",
  "username_encoded": "Z0FBQUFBQm5LakwyS1VTa0F0NTdNdVRxZ3FMa2V3ZUc0QTZaOXFXRHVZbWdBMVRfak5xR1dfNWE2QW9KbEZMM3otT3cxczNtbVd2Ni1hVGR1R3hiaGFMcnZ1cmxfdGo2bWNLR0kxRkRXdU5YWmoyYlRVTEhnMzQ9",
  "url_encoded": "Z0FBQUFBQm5Lak9GSTlWazAtR2dTN1hySDBlM05LSWVDNG1wQUdHcFN0Zm1JSzhqN0NFeWV2ZXowTHl3dVcwS016dlpSLUJTdnVBSktHT2hUZjZ1ZUVwOW1UZWtuZXdYRkpQNWNkeGFRQlhNNFVtWnBpTU40YzZvSTA5N041YWhwWkN6V1htLVFoRzFpampzeVNRYXdKRlNQQlFNdmJ6WVJzSWM3bmh3Y1BidThld1lraGxldXNreXJ1bmVTcHd5d1BsOGtUSXhIeUtzbUtTQlRPRGxiVXBXZkVvdGU2QlhIZz09"
}

Entry Information